In my previous post, I introduced the idea of the Minimally Viable Innovation System (MVIS) as a low cost repeatable process that companies can implement to drive innovation in their organizations. In this blog post, I will describe in general terms how this process works, and how it can be implemented in 90 days.
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“We believe that every successful new application built today will be an intelligent application,” says Soma Somasegar, venture partner at Madrona Venture Group and former head of Microsoft’s Developer Division. Indeed, we are in a transition period where the barriers to entry in Machine Learning are going down dramatically. And at the same time, more individuals and businesses are seeing the potential of Machine Learning to improve existing products and services and to enable completely new applications. The time is now for both software developers and businesses of any size to start using Machine Learning to create more powerful user experiences and bring new ideas to the marketplace.
In my last blog post, we discussed the use of the Publish-Subscribe design pattern. Near the end of that post we introduced MQTT, and in this blog post we shall go more in depth on MQTT. The motivation in exploring and learning about MQTT is that it is a standard used for IoT applications which addresses several concerns around the emerging IoT space; lack of standards, security, and privacy. Much of what is presented here about the standard can also be found across a variety of other websites including Wikipedia and the MQTT homepage, the latter of which is a wonderful resource for exploring the standard in depth.
Welcome back to the Meet Our Team Q&A series. My name is Daniela Williams, Project Manager at ISE, and I’ll be asking ISE team members questions to help give insight into what makes us tick.
Today I'm interviewing Jacob Veal, one of our interns, turned full-time developer. Read on to learn how his transition has been and his tips for this year’s ISE summer interns.